About the Journal

Recognization by HEC's Journals Recognition System (HJRS)

The Asian Bulletin of Big Data Management (ABBDM) is a peer-reviewed journal recognized by the Higher Education Commission of Pakistan in Y category .

The Asian Bulletin of Big Data Management (ABBDM) is a peer-reviewed journal for research in social science and related disciplines.  The Journal seeks to include empirical, conceptual, and methodological articles across the full range of green management in Asian countries. The ABBDM provides a forum for academics and practitioners to share the latest developments and advances in the knowledge and practice of global business dimensions. It publishes scholarly articles of an interdisciplinary nature with contemporary global relevance. It also aims to foster the exchange of ideas on a range of important international issues and, in doing so, provide a stimulus for further research and the development of global perspectives. To this end, our objective is to attract quality scholarship that can practically benefit corporations and other institutions in their overall development as well as society at large. We encourage contributions from around the globe, with a special emphasis on emerging economies. 

The Asian Bulletin of Big Data Management (ABBDM) © 2021 by ASIAN ACADEMY OF BUSINESS AND SOCIAL SCIENCE RESEARCH is licensed under Attribution 4.0 International 

Current Issue

Vol. 6 No. 1 (2026): The Asian Bulletin of Big Data Management
Published: 2026-01-17

Business Analytics

  • Industry 5.0, Human-Centric Innovation, and Green Operational Efficiency: Evidence from Smart Sustainable Workflows

    Nijah Akram , Fahad Asghar , Khawar Abbas, Muhammad Hammad Abbasi, Sudhair Abbas Bangash
    1-14
    DOI: https://doi.org/10.62019/evs0zb74

Data science

  • Anomaly Detection in IoT Using Machine Learning Techniques: A Comparative Study and Voting-Ensemble Approach

    Mediha Maroof, Ayesha Maroof, Ayesha Bano
    1-16
    DOI: https://doi.org/10.62019/f7v58427

  • Digital Twin-Enabled Predictive Intelligence Framework for Supply Chain 5.0: Hybrid Deep Reinforcement Learning Architecture for Real-Time Adaptive and Self-Optimizing Decision Management

    Omar J. Alkhatib , Muhammad Irshad Hussain, Raza Ali Nawaz, Muhammad Umar Amin, Ajab Khan
    17-39
    DOI: https://doi.org/10.62019/z34j8b27

  • An Efficient AI and Deep learning Assisted Self-Healing Network Approach: Analysis on Fault Detection Response and Recovery to Mitigate Threats in IoT-Security Ecosystem

    Muhammad Hamza Akhtar, Umair Ghafoor, Osama Imran, Nasir Ayub , Mian Muhammad Abdullah , Hamayun Khan
    40-66
    DOI: https://doi.org/10.62019/vzh8q026

  • Assessing application of Blockchain, Artificial Intelligence, and Cloud-Computing in e-Governance

    Mohsin Shaikh, Abdul Aziz Memon, Khalil Rauf, Ashfaq Ahmed, Shah Nawaz Khuhro
    67-76
    DOI: https://doi.org/10.62019/06tbjw31

  • Expanded Entity Coverage and Machine-Annotated Pre-Training for Urdu Named Entity Recognition

    Dr.Nazish Basir, Dr.Mumtaz Qabulio, Dr.Muhammad Suleman Memon, Mr.Danish Nazir Arain, Dr.Sehrish Basir Nizamani, Dr.Saad Nizamani
    77-93
    DOI: https://doi.org/10.62019/gypnn177
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